✦ LIBER ✦

Using artificial neural networks to predict cell-penetrating compounds

✍ Scribed by Karelson, Mati; Dobchev, Dimitar

Book ID: 118280919
Publisher: Informa plc
Year: 2011
Tongue: English
Weight: 413 KB
Volume: 6
Category: Article
ISSN: 1746-0441
DOI: 10.1517/17460441.2011.586689

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of skin penetration using art

Prediction of skin penetration using artificial neural network (ANN) modeling

✍ Tuncer Deği̇m; Jonathan Hadgraft; Sibel İlbasmiş; Yalçin Özkan 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 239 KB

Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful in the prediction of skin permeability, uses th

Fracture prediction using artificial neu

Fracture prediction using artificial neural networks

✍ J. E. B. Jensen; P. K. Sharpe; P. Caleb; H. A. Sørensen 📂 Article 📅 1996 🏛 Springer-Verlag 🌐 English ⚖ 147 KB

SOIL SALINITY PREDICTION USING ARTIFICIA

SOIL SALINITY PREDICTION USING ARTIFICIAL NEURAL NETWORKS

✍ R. M. Patel; S. O. Prasher; P. K. God; R. Bassi 📂 Article 📅 2002 🏛 American Water Resources Association 🌐 English ⚖ 158 KB

Predicting grinding burn using artificia

Predicting grinding burn using artificial neural networks

✍ HONGXING LIU; TAO CHEN; LIANGSHENG QU 📂 Article 📅 1997 🏛 Springer US 🌐 English ⚖ 251 KB

Tool-wear prediction using artificial ne

Tool-wear prediction using artificial neural networks

✍ E.O. Ezugwu; S.J. Arthur; E.L. Hines 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 513 KB

Prediction of pile settlement using arti

Prediction of pile settlement using artificial neural networks based on standard penetration test data

✍ F. Pooya Nejad; Mark B. Jaksa; M. Kakhi; Bryan A. McCabe 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 386 KB

In recent years artificial neural networks (ANNs) have been applied to many geotechnical engineering problems with some degree of success. With respect to the design of pile foundations, accurate prediction of pile settlement is necessary to ensure appropriate structural and serviceability performan